Scientific Computing

The scientific process can be repetitive and tedious, with researchers spending hours digging through papers, managing experiment workflows, or wrangling...

High-performance computing (HPC) customers continue to scale rapidly, with generative AI, large language models (LLMs), computer vision, and other uses leading...

See how KDNuggets achieved 500x speedup using CuPy and NVIDIA CUDA on 3D arrays.

AI and its newest subdomain generative AI are dramatically accelerating the pace of change in scientific computing research. From pharmaceuticals and materials...

The CUDA Fortran compiler from PGI now supports programming Tensor Cores with NVIDIA’s Volta V100 and Turing GPUs. This enables scientific programmers using...

Double-precision floating point (FP64) has been the de facto standard for doing scientific simulation for several decades. Most numerical methods used in...